CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of TurboFold(seed) - scored higher in this pairwise comparison

  4. Performance of CentroidFold - scored lower in this pairwise comparison

  5. Compile and download dataset for TurboFold(seed) & CentroidFold [.zip] - may take several seconds...


Overview

Metric TurboFold(seed) CentroidFold
MCC 0.529 > 0.494
Average MCC ± 95% Confidence Intervals 0.527 ± 0.155 > 0.510 ± 0.135
Sensitivity 0.434 > 0.393
Positive Predictive Value 0.650 > 0.627
Total TP 212 > 192
Total TN 79366 < 79386
Total FP 150 > 134
Total FP CONTRA 16 < 21
Total FP INCONS 98 > 93
Total FP COMP 36 > 20
Total FN 277 < 297
P-value 1.10032755566e-08

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Performance plots


  1. Comparison of performance of TurboFold(seed) and CentroidFold. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for TurboFold(seed) and CentroidFold).

  2. Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for TurboFold(seed) and CentroidFold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(seed) and CentroidFold. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for TurboFold(seed) and CentroidFold).

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Performance of TurboFold(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for TurboFold(seed)

Total Base Pair Counts
Total TP 212
Total TN 79366
Total FP 150
Total FP CONTRA 16
Total FP INCONS 98
Total FP COMP 36
Total FN 277
Total Scores
MCC 0.529
Average MCC ± 95% Confidence Intervals 0.527 ± 0.155
Sensitivity 0.434
Positive Predictive Value 0.650
Nr of predictions 14

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2. Individual counts for TurboFold(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
3J3E_8 0.17 0.15 0.21 5 7479 28 2 17 9 28
3J3F_8 0.39 0.36 0.42 13 12215 32 2 16 14 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.59 0.48 0.74 20 3889 7 1 6 0 22
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3ZEX_C 0.39 0.27 0.56 14 14171 14 2 9 3 38
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4A1C_2 0.15 0.15 0.15 5 11748 37 3 25 9 28
4AOB_A 0.56 0.40 0.77 17 4349 6 1 4 1 25
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRN_A 0.69 0.56 0.87 20 5128 3 1 2 0 16
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12

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Performance of CentroidFold - scored lower in this pairwise comparison

1. Total counts & total scores for CentroidFold

Total Base Pair Counts
Total TP 192
Total TN 79386
Total FP 134
Total FP CONTRA 21
Total FP INCONS 93
Total FP COMP 20
Total FN 297
Total Scores
MCC 0.494
Average MCC ± 95% Confidence Intervals 0.510 ± 0.135
Sensitivity 0.393
Positive Predictive Value 0.627
Nr of predictions 14

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2. Individual counts for CentroidFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.49 0.35 0.70 7 1530 3 1 2 0 13
3J3E_8 0.00 0.00 0.00 0 7485 21 2 16 3 33
3J3F_8 0.34 0.33 0.34 12 12211 34 4 19 11 24
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.58 0.48 0.71 20 3888 8 1 7 0 22
3W1K_J 0.56 0.50 0.63 19 4156 11 2 9 0 19
3ZEX_C 0.47 0.27 0.82 14 14179 3 1 2 0 38
4A1C_3 0.67 0.56 0.81 30 7103 7 1 6 0 24
4A1C_2 0.16 0.15 0.17 5 11752 29 5 19 5 28
4AOB_A 0.45 0.33 0.61 14 4348 10 1 8 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.73 0.58 0.92 11 1314 1 1 0 0 8
4FRN_A 0.40 0.28 0.59 10 5134 7 2 5 0 26
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12

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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.